Cécile Dumas

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cécile Dumas trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Christian Szegedy

Papers from Cécile Dumas's perspective

Ordered by how strongly the researchers Cécile Dumas trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Rectified Linear Units Improve Restricted Boltzmann Machines
  6. Rethinking the Inception Architecture for Computer Vision
  7. Visualizing and Understanding Convolutional Networks
  8. Deep Learning
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Pattern Recognition and Machine Learning

Their papers